Hire the Best Data Scientists in Indore, IN

Highly experienced Full-Stack Data Scientist / ML Engineer delivering production ready ML models and customised softwares to automate business processes and decision making. Skills : ● Data Science & Machine Learning : Supervised ML, Linear Regression, Decision Tree, Prompt Engineering, Hypothesis Testing, Statistics, Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering, Data Visualization, SQL, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly, Dash, Microsoft Excel, Metabase, AWS Athena & Sagemaker, Google BigQuery, Unsupervised ML, Neural Nets, NLP, Large Language Models (LLM), GPT, Text Embedding, Vector Databases, PyTorch, fastai, TensorFlow, OpenAI API, Generative AI (GenAI) ● Programming : Python, MySQL, PostgreSQL, HTML, CSS, Flask, Heroku, APIs, Git, AWS S3 & EC2, JavaScript, jQuery, Java, Werkzeug WSGI, Leaflet.js, Folium, GeoPandas, Google Maps API & Sheets API, Bootstrap Professional Work : 1. Engineered a suite of cutting-edge ensemble ML models, revolutionizing underwriting processes for personal loan products a major FinTech Lender in India. 2. Developed and deployed 6 ML models for credit-risk scorecard, using 5 data sources (Bureau, Bank Statement, SMS, Smartphone App Info and Demography), improving risk spread by 1200%. 3. Devised NLP based models (Passive Aggressive Classifier and XGBoost Classifier with TFiDF Vectorizer) for classification of SMS, improving recall by 35% and accuracy by 60%, and saved 36 man-hours daily, processing over 200 Mn SMS/day. 4. Created LLM based classifier models using Prompt Engineering on ChatGPT (OpenAI), Mistral AI (Open Source) and other open source models. Deployed using AWS Sagemaker. 5. Crafted an LLM based Law ChatBot that answers to Lawyer's questions pertaining to any specified PDF file of a Legal Document. 6. Built an in-house MLOps infrastructure with AWS Sagemaker, enhancing model integration. 7. Engineered 330+ features from SMS data to emulate metrics including cash flow, lifestyle and financial literacy indicators. Included steps like Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering. 8. Designed comprehensive daily and monthly model monitoring dashboards using Flask-Python, Metabase and SQL tables, improved response time to anomalies by 75%, enhancing overall model reliability and performance. 9. Designed a Customer Loyalty Program and delivered via a web and Android app, over 2500 DAU, rated 4.6 on play store for a manufacturer and distributor of PVC Plumbing Systems in Central India. 10. Increased territorial penetration by over 25% by building automated interactive GIS sales dashboard for a wholesale business in India. 11. Achieved 100% monthly revenue target completion by creating Business Intelligence Dashboard – Google Apps Script. 12. Reduced total credit by 20% in five months by building a Python-bot that sends regular WhatsApp messages to debtors. 13. Saved annual recurring cost of ₹25 lakh+ by automating data collection for a hedge fund using Yahoo Finance API & Python. 14. Cut time from over 4 hours to 2 clicks by developing a GIS-enabled web application for new-license territory discovery for a developer and licensor of Escape Room Game Designs in USA. Personal Projects : 1. Developed a Fake News Classifier using TfIdf Vectorizer and Passive Aggressive Classifier - ML, pandas, scikit-learn. 2. Created a Spam Email Classifier using Naïve Bayes and XGBoost Classifiers - ML, NumPy, seaborn. 3. Designed a Cat Image Classifier using multi-layer neural network - DL, NumPy, Matplotlib, h5py, PIL, SciPy. 4. Developed a web app to manage portfolio of stock with real-time prices using IEX API -SQLite, Flask, HTML, CSS, JS. 5. Built a terminal-run card game called Declare - Python. Education : Computer Science and Data Science Masters (Self-Learned) Major Electives: Computer Science: MIT 6.0001, MIT 6.0002, Automate the Boring Stuff with Python, Harvard CS50, Harvard CS50 - Web Development, Intro. to Algorithms, Design and Analysis of Algorithms, Software Development Lifecycle, GIT and GitHub, Flask for Python, The Python Mega Course, Data Structures, Analysis of Algorithms, The Odin Project etc. Data Science: Stanford CS229, Stanford Machine Learning (CS229A), Data Science path on Codecademy.com, Data Science and Machine Learning Bootcamp, Neural Networks and Deep Learning, Deep Learning with PyTorch: Zero to GANs, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

✅ TOP-RATED PLUS freelancer on UpWork ✅ Senior Power BI Developer ✅ 200+ BI Dashboards Delivered ✅ Microsoft DA-100 Certified Power BI ✅ 150+ Happy Clients Globally :) I brainstorm, develop and deliver BI DASHBOARDS & REPORTS. I specialize in assisting Mid-Sized to Large companies in building their Analytics and Automation Infrastructure. My top two priorities are "Client Satisfaction" and "On-time delivery" . Data Visualization Tools: ✅ Power BI / Power BI, DAX, M-Language, Power Query ✅ Tableau ✅ Google Data Studio I can help you with: ✅ Different Dashboard (KPI Dashboard, Sales Dashboard, Profit/Loss Dashboard). ✅ Storytelling, Presentation. ✅ Improving existing Dashboard. ✅ API integration I am a BI Consultant ( + Data Science Knowledge ) with 5+ years of industry experience and working on discrete analytics tools, integrating multiple on-premises and cloud data sources using standard, custom connectors or REST API's and publishing the dashboards to cloud service. Please reach out to me to solve Power BI, Data Visualization, and Data Analytics related Business problems. Please reach out to me for any assignment on Power BI, Microsoft PowerBI, Microsoft Power BI, SQL Server, Tableau, Data Analytics, Excel, Data Visualization, Expert, Quick Turnaround, Urgent, Data Visualization, Data Analytics. Keywords:- Microsoft Power BI, Dashboard, Report, Business Intelligence, ETL, ETL pipeline, Data Visualization, Data Analytics, Power BI Reporting, Power BI dashboards, Microsoft PowerApps, Microsoft Power Automate, Data Warehouse, Report Design and Visualization, Dashboard development, Data Scientist, Sales, Finance, Marketing, Executive, HR, Azure, NetSuite, AWS, Salesforce, QuickBooks, Xero, Zendesk, Spiro, Tableau, BI Developer, Excel, SQL, Google Analytics, Google Ads, Pardot, Facebook, Instagram

✅ I have 9+ Years of experience in Full-Stack development and Data Science. ✅ I am an expert on Python and have been programming for 10+ Years. ✅ I can perform third-party API integrations in your project. ✅ I can get you multi-threaded asynchronous web scrapers making 100s of requests per second. ✅ I can provide custom automated scripts and make them work as per your requirement. ✅ I can provide data reports with custom interactive data visualizations. ✅ I can get you data from Twitter, Instagram, Reddit, Facebook, or other social media platforms. ✅ I can develop your complete websites/backends/APIs as required with best practices. 🌟 All of my code is well tested, follows best coding practices, and well documented, so future developers can easily understand and extend from that codebase. 🌟 I am a tech enthusiast with a passion for learning and developing end-to-end solutions. I like exploring and learning more every day. Capable of building and deploying the solutions you want. Please check my specialized profiles if you have specific requirements.

🏆 TOP RATED PLUS Data Expert | Top 3% on Upwork 💰 $600K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. I’ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. 💡 What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) 📈 Real Outcomes I’ve Delivered ✔ Built full marketing data warehouse → improved spend efficiency by 30%+ ✔ Fixed tracking & attribution → recovered lost revenue visibility ✔ Automated reporting → saved 20+ hrs/week for teams ✔ Delivered exec dashboards → faster, data-backed decisions 🧠 Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking → pipelines → dashboards → insights) - Strong communication + fast execution (no hand-holding needed) 📈 My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. 👉 Let’s Work If you’re looking for someone who can own your entire data stack and turn it into a revenue engine, let’s talk. Click “Invite” and let’s discuss your use case 🚀 ----- 🔍 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration

As an experienced AI Engineer, my goal is to leverage my expertise in artificial intelligence, machine learning, and data science to develop innovative solutions that drive business growth and enhance user experiences. ✅ Technologies: Machine Learning, Image Processing, Neural Networks, Deep Learning, You Only Look Once (YOLO), Object Detection, Convolutional Neural Networks (CNN), EfficientNet, CoAtNet, Vision Transformer (ViT), Residual Neural Network (ResNet), Data Scientist, Leadership ✅ EXPERIENCE: 1️⃣ Harnessed LLMs (GPT-4, Claude-3) to optimize business processes, automate HR operations, and develop advanced logistics and fleet management tools. 2️⃣ Engineered hospitality management solutions and automotive data analytics to drive efficiency and deliver actionable insights. 3️⃣ Leveraged TTS and STT technologies to create interactive applications with mic functionality, streamlining customer support and complaint resolution processes. 4️⃣ Developed sophisticated RAG chatbots using Langchain enabling seamless information retrieval from diverse document types (PDFs, TXT, DOCX, websites, MP3/MP4) to enhance user experiences and support knowledge management

I’m a dedicated AI & ML Engineer with 4+ years of experience building smart, scalable, and efficient AI solutions for real-world problems. My expertise lies in developing end-to-end applications using Python, FastAPI, Flask, and working with advanced AI frameworks and technologies like LangChain, RAG, LangGraph, LLMs, and Machine Learning models. I help clients integrate Large Language Models (LLMs) into their systems to automate workflows, enhance customer support, build intelligent chatbots, and unlock value from their data. Whether it’s API development, fine-tuning models, or creating Retrieval-Augmented Generation (RAG) pipelines, I focus on delivering solutions that are both robust and tailored to your business needs. I’m also well-versed in cloud platforms including AWS, Azure, and GCP—allowing me to deploy and manage solutions that are production-ready and scalable. Here’s what I can help you with: • LLM integration and RAG pipelines • FastAPI/Flask-based AI backend development • LangChain and Agent-based AI automation • Custom ML model development and deployment • Cloud-based AI workflows (AWS, Azure, GCP) • Prompt engineering and chatbot building • Workflow optimization and smart data processing I’m passionate about turning ideas into working, intelligent products. Let’s connect and discuss how I can bring real AI value to your project!